Machine Learning Engineer Intern, (MS/PhD) 2026

Summary

Netflix is one of the world's leading entertainment services, and they are seeking Machine Learning Engineers to help design, build, and deploy machine learning models and systems. The role involves developing and maintaining scalable ML pipelines, collaborating with various teams to translate business needs into ML solutions, and experimenting with new algorithms to enhance user experience.

Responsibilities

• Help design, build, and deploy machine learning models and systems that power personalized recommendations, content optimization, search, streaming quality, and other data-driven features across the Netflix platform
• Develop and maintain scalable ML pipelines and infrastructure
• Collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions
• Experiment with new algorithms and techniques to improve user experience and operational efficiency

Skills

• Currently enrolled student pursuing an advanced degree (Master's or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
• Some experience with the following machine learning areas: Foundational science: Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning
• Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
• End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
• Practical experience with programming and machine learning, evidenced by projects, classwork, or research
• Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
• Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix
• Great communication skills, both oral and written
• Intent to return to your degree-program after the completion of the internship

Qualifications

Must Haves

• Currently enrolled student pursuing an advanced degree (Master's or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
• Some experience with the following machine learning areas: Foundational science: Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning
• Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
• End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
• Practical experience with programming and machine learning, evidenced by projects, classwork, or research
• Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
• Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix
• Great communication skills, both oral and written
• Intent to return to your degree-program after the completion of the internship